{"id":"W4386250761","doi":"10.18280/ijsdp.180807","title":"Quantifying Ecological, Economic, Social, and Governance Attributes for Urban Forest Eco-Tourism Using MDS-RAPFISH Approach","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Corporate governance; Environmental resource management; Urban forest; Ecotourism; Environmental planning; Urban forestry; Business; Geography; Ecology; Environmental science; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005715869,0.0003369811,0.0002137135,0.00302641,0.0003427591,0.0007989103,0.0001529173,0.0001533299,0.001391053],"category_scores_gemma":[0.001519335,0.00007933624,0.0005297672,0.003016925,0.0003308264,0.0004159347,0.0007421354,0.0001753633,0.0001092123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007426091,"about_ca_system_score_gemma":0.0006576816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006760495,"about_ca_topic_score_gemma":0.01362383,"domain_scores_codex":[0.99968,0.0001182511,0.00003199425,0.00003905391,0.00008994832,0.00004071846],"domain_scores_gemma":[0.9994191,0.0001829379,0.0001676878,0.00004921749,0.0001351815,0.00004586692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009900974,0.0001462103,0.8642252,0.0002304846,0.0002000048,0.0002568475,0.00211081,0.03354205,0.00379413,0.00611124,0.001167929,0.08811603],"study_design_scores_gemma":[0.000005106349,0.0001273343,0.8600342,0.0000677144,0.00007312663,0.0001520201,0.009312662,0.1223015,0.001327981,0.002982278,0.003578723,0.0000374737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855406,0.00006271033,0.01105193,0.00004099318,0.000004854081,0.0000954816,0.0006646618,0.00003299331,0.002505873],"genre_scores_gemma":[0.9911321,0.0000349014,0.008112359,0.000002967623,0.000001672121,0.00007656792,0.0003984983,0.000002924246,0.0002381314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006760495,"threshold_uncertainty_score":0.01344234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111191974488666,"score_gpt":0.3652170535978659,"score_spread":0.2540250791092,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}